Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Orbbec shows AI-powered vision systems at Automate 2026
Orbbec showcased its latest industrial-grade 3D cameras designed for demanding automation environments during the Automate 2026 event. The company emphasized the integration of artificial intelligence to improve robotic perception, highlighting advancements that enable more sophisticated automation solutions. This presentation reflects Orbbec's commitment to addressing the complexities of modern industrial applications, aiming to enhance efficiency and accuracy in robotic systems. The event, which gathered industry leaders and innovators, provided a platform for Orbbec to demonstrate how its technology can meet the evolving needs of automation in various sectors.
Artificial Intelligence Artificial Intelligence / Cognition Automation Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Collaborative Robots
Cognex releases fully integrated AI-powered vision system for robotics
Cognex has launched a fully integrated AI-powered vision system designed specifically for robotics applications. This innovative system combines advanced artificial intelligence, edge AI, and rule-based vision tools with a high-performance embedded computing platform. The release aims to enhance the capabilities of robotic systems, enabling them to perform complex tasks with greater efficiency and accuracy. By leveraging cutting-edge technology, Cognex seeks to address the growing demand for intelligent automation solutions in various industries. The announcement marks a significant advancement in the field of robotics, positioning Cognex as a leader in AI-driven vision systems.
Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Design / Development News Technologies
Voyis Launches Deep Vision Optics: A New Era in Underwater Imaging
Voyis, a prominent player in underwater optical sensor technology, has unveiled its latest innovation, the Deep Vision Optics. This advanced optical system aims to significantly improve image clarity and sharpness in subsea environments. The launch, which is part of Voyis’ Discovery Vision Systems and Observer Imaging Systems, marks a pivotal advancement in underwater imaging performance. The introduction of Deep Vision Optics is expected to set a new benchmark in the industry, enhancing the capabilities of underwater exploration and research.
voyis deep vision optics underwater imaging
RS Aqua and UVision Partner to Deliver Underwater 3D Imaging Technology to the Ocean Science Industry of the UK & Ireland
RS Aqua, a specialist in ocean technology, has formed a new partnership with Copenhagen-based technology firm UVision. This collaboration aims to leverage both companies' expertise to advance innovations in marine technology. The announcement was made today, signaling a strategic move to enhance product offerings and expand market reach. By combining RS Aqua's experience in oceanic solutions with UVision's cutting-edge technology, the partnership seeks to address growing demands in the marine sector, particularly in areas such as environmental monitoring and data collection. This alliance is expected to facilitate the development of new technologies that will benefit various stakeholders in the marine industry.
rs aqua uvision partnership underwater 3d imaging technology
Why robots still struggle to see the real world
Orbbec co-founder emphasizes that enhancing machine perception for practical applications necessitates more than advancements in artificial intelligence; it also demands the use of accurately calibrated sensors. This insight highlights the ongoing challenges robots face in effectively interpreting their environments. The discussion sheds light on the complexities involved in developing reliable robotic vision systems, which are crucial for their successful deployment in real-world scenarios. The commentary reflects the current state of technology as of October 2023, underscoring the need for a multi-faceted approach to improve robotic capabilities.
Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Healthcare Robotics Logistics
Path Robotics Enhances Welding Efficiency with AI and Boston Dynamics Robots
In a recent episode of The Robot Report Podcast, Andy Lonsberry, co-founder and CEO of Path Robotics, detailed the company's innovative approach to robotic welding. Based in Columbus, Ohio, Path Robotics utilizes AI to optimize the welding process by identifying torch paths and employing real-time vision guidance. This technology aims to streamline operations in manufacturing environments, addressing longstanding challenges in the industry. The significance of Path Robotics' advancements lies in their application of physical AI to enhance robotic systems. By integrating AI-driven solutions, the company is not only improving the efficiency of welding operations but also expanding the capabilities of robots in complex production settings. The deployment of Boston Dynamics' Spot robots for mobile welding applications in shipbuilding further exemplifies the potential of combining AI with robotics to tackle industry-specific challenges. Looking ahead, the focus will be on the continued integration of AI in robotic systems and the potential for further advancements in welding technology. No further timeline was disclosed at the time of publication, but the ongoing development in this area suggests a promising future for AI-enhanced manufacturing solutions.
Artificial Intelligence Assembly Cameras / Imaging / Vision Controllers Humanoids Manufacturing
ABB Robotics includes vSLAM navigation in F712 autonomous forklift
The Flexley Stacy F712 forklift uses vision to navigate, works with other robots, and complies with safety standards, says ABB Robotics. The post ABB Robotics includes vSLAM navigation in F712 autonomous forklift appeared first on The Robot Report.
Automotive Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Logistics Manufacturing Mobility / Navigation
Why physical AI 2.0 needs a reality check
A columnist emphasizes the importance of physical state recovery in the development of physical AI, arguing that while vision and language capabilities are crucial, enabling robots to effectively interact with their environment is essential for the next generation of AI technology. The commentary highlights the need for a realistic assessment of these advancements, suggesting that without addressing the physical aspects of AI, progress may be hindered. This perspective was shared in a recent article on The Robot Report, underscoring the ongoing discourse surrounding the evolution of robotics and artificial intelligence.
Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Humanoids Mobility / Navigation
Luxonis closes Series A round to scale physical AI perception layer
Luxonis has announced its plans to increase production of its OAK camera and enhance its platform to better support robotics and industrial automation. This initiative follows the successful closure of its Series A funding round, which aims to bolster the company's capabilities in developing a physical AI perception layer. The funding will enable Luxonis to refine its technology and expand its market presence in the rapidly evolving field of AI and automation.
Agriculture Artificial Intelligence Cameras / Imaging / Vision Defense / Security Industrial Robots Logistics
RealSense unveils AI-native D585 Pro depth camera for robots
RealSense has introduced its latest innovation, the D585 Pro depth camera, designed specifically for robotic applications. This new model is powered by a proprietary Gen 5 system-on-chip, which enhances its performance by providing over twice the depth quality compared to its predecessor. The unveiling of the D585 Pro marks a significant advancement in depth sensing technology, aimed at improving the capabilities of robots in various environments. The announcement was made recently, highlighting RealSense's commitment to advancing AI-native solutions in the robotics sector.
Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Collaborative Robots Humanoids Industrial Robots
Inside Verobotics’ edge AI robotics deployment at NVIDIA’s Israel campus
Verobotics has announced the deployment of its advanced robotic technology at NVIDIA’s Israel campus, transforming vertical surfaces that were previously considered hazardous and difficult to access into safe, data-rich robotic workspaces. This innovative solution aims to enhance operational efficiency and safety by allowing for repeatable access to these challenging areas. The integration of edge AI into the robotic systems enables real-time data collection and analysis, facilitating improved decision-making processes. This development marks a significant step forward in the application of robotics in environments that require high levels of precision and safety.
Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Case Study Design / Development News
How agentic AI can enable general-purpose robotic navigation
Researchers are exploring the capabilities of agentic AI to enhance robotic navigation by integrating perception, simultaneous localization and mapping (SLAM), reasoning, and planning. This innovative approach aims to improve the performance of robots operating in dynamic environments. The findings were discussed in a recent article published by The Robot Report, highlighting the potential of agentic AI to transform how robots navigate and interact with their surroundings. By leveraging advanced algorithms and technologies, this method seeks to address the challenges faced by robots in real-world scenarios, ultimately paving the way for more versatile and efficient robotic systems.
Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Mobility / Navigation Motion Control
Ouster releases REV8 OS sensor family with native-color lidar
Ouster has announced the launch of its new Rev8 OS sensor family, which features the industry's first native color lidar technology. This innovative lineup includes the OS1 Max, which boasts double the range and resolution compared to its predecessor, the Rev7. The introduction of these advanced sensors marks a significant advancement in lidar capabilities, aimed at enhancing various applications in robotics and autonomous vehicles. Ouster's commitment to pushing the boundaries of sensor technology is evident in this latest release, which promises to improve performance and accuracy in real-world scenarios.
Automotive Cameras / Imaging / Vision Mobility / Navigation News Self-Driving Vehicles Sensors / Sensing Systems
AGIBOT Launches Four New Embodied AI Products at WAIC 2026
AGIBOT unveiled four new embodied AI products at the World Artificial Intelligence Conference (WAIC) 2026, expanding its portfolio with humanoid platforms, industrial robots, and dexterous manipulation systems. The new offerings include the AGIBOT A3 Ultra, G2 Max, and OmniHand 3 Ultra-M, designed to address the challenges of reliable manufacturing and integration in real-world environments. The significance of these launches lies in AGIBOT's commitment to moving beyond mere demonstrations of robotic capabilities. Co-founder Peng Zhihui emphasized the importance of consistent performance in operational settings, highlighting the company's focus on delivering practical value at scale. AGIBOT's recent production milestone of 15,000 robots underscores its rapid growth and ambition in the robotics sector. Looking ahead, AGIBOT aims to further develop its “Three Intelligences in One” architecture, which integrates locomotion, interaction, and manipulation. The company is also set to showcase its products and capabilities at its exhibition space in Shanghai, with a focus on commercial, service, and educational applications. No further timeline was disclosed at the time of publication.
Arms / Manipulators Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision China
ExRobotics launches UL-certified inspection robot for hazardous environments
ExRobotics has announced that its ExR-2.5 inspection robot has received certification for safe operations in explosive environments across North America. This certification allows the robot to be deployed in hazardous settings, enhancing safety and efficiency in inspections where traditional methods may pose risks. The launch of the UL-certified ExR-2.5 marks a significant advancement in robotics technology, aimed at addressing the challenges faced in environments that are potentially dangerous for human operators.
Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Mobility / Navigation News Oil and Gas Safety & Security
Robotics Summit panel explores the state of humanoid robot design
At the Robotics Summit & Expo, industry experts gathered to discuss advancements in humanoid robotics, focusing on the potential to reach a price point of $20,000 for these technologies in the near future. The panel highlighted current design innovations and the challenges that remain in making humanoid robots more accessible. This event, held today, served as a platform for sharing insights on the future of robotics and its implications for various sectors. The discussions underscored the growing interest in humanoid robots and the ongoing efforts to enhance their affordability and functionality.
Actuators / Motors / Servos Arms / Manipulators Artificial Intelligence Cameras / Imaging / Vision Design / Development Events
Mitsubishi Electric opens Serendie Street Boston digital transformation hub
Mitsubishi Electric has launched Serendie Street Boston, marking its inaugural digital transformation hub in the western region, aimed at fostering collaboration and innovation. This new facility is designed to enhance the company's capabilities in digital transformation, reflecting its commitment to advancing technology solutions. The opening of the hub underscores Mitsubishi Electric's strategic focus on expanding its presence in the digital landscape, providing a space for creative problem-solving and partnership development. The initiative is part of the company's broader efforts to adapt to the evolving technological environment and meet the growing demands of its clients.
Academia / Research Arms / Manipulators Artificial Intelligence Artificial Intelligence / Cognition Automation Batteries / Power Supplies
Top 10 robotics stories from May 2026
In May 2026, the robotics industry experienced a surge of activity, culminating in the Robotics Summit & Expo held in Boston. This prominent event showcased the latest advancements and innovations in robotics, attracting industry leaders, researchers, and enthusiasts from around the globe. The summit served as a platform for discussions on emerging technologies, trends, and the future of robotics, highlighting the sector's rapid evolution and its increasing impact on various industries. The event's timing coincided with a series of significant developments in robotics, making it a focal point for news coverage and analysis. As the industry continues to grow, the Robotics Summit & Expo underscored the importance of collaboration and knowledge sharing among stakeholders to drive future advancements.
Artificial Intelligence Artificial Intelligence / Cognition Automation Automotive Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision
Discover advancements in robotic case and item picking technology.
This week, experts from Locus Robotics, Nomagic, and RightHand Robotics will participate in a webinar focused on advancements in robotic piece picking technology. The discussion aims to highlight the latest developments in this field, showcasing how these innovations can enhance efficiency in logistics and warehousing operations. Attendees will gain insights into the current state of robotic automation and its implications for the future of supply chain management. The event underscores the growing importance of robotics in improving operational capabilities across various industries.
6-Axis Arms / Manipulators Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Collaborative Robots
The future of physical AI isn’t humanoid; it’s task-specific and cost-efficient
In a recent discussion, the vice president of physical AI at Hailo emphasized the emerging trend of artificial intelligence operating locally on specialized machines tailored for specific real-world tasks. This shift marks a departure from the traditional humanoid AI models, focusing instead on efficiency and cost-effectiveness. The insights were shared in a post on The Robot Report, highlighting the potential for these task-specific AI systems to revolutionize various industries by enhancing performance and reducing operational costs. As the technology evolves, the emphasis on localized processing is expected to drive innovation and improve the integration of AI into everyday applications.
Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Humanoids News Opinion
Fraunhofer IPA offers new test benchmark for humanoids
Fraunhofer IPA has introduced a new benchmark aimed at evaluating humanoid robots for industrial applications. This initiative addresses the need for standardized criteria that can be utilized by third-party analysts to assess the performance and suitability of these robots in various industrial settings. The development of this benchmark reflects the growing demand for reliable and efficient humanoid robots in the workforce, as industries seek to enhance productivity and automate processes. By providing a structured framework for evaluation, Fraunhofer IPA aims to facilitate the integration of humanoid robots into industrial environments, ensuring they meet specific operational requirements.
Actuators / Motors / Servos Arms / Manipulators Batteries / Power Supplies Cameras / Imaging / Vision Controllers End Effectors / Grippers
Hello Robot’s latest Stretch 4 is bigger, faster, and stronger than previous versions
Hello Robot has unveiled its latest model, the Stretch 4, which boasts enhanced capabilities compared to its predecessors. This new assistive robot is designed to be bigger, faster, and stronger, while still prioritizing flexibility and safety in its operations. The announcement highlights the company's commitment to advancing robotic technology to better serve various applications. The Stretch 4 aims to improve efficiency and effectiveness in tasks that require assistance, marking a significant step forward in the field of robotics.
Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Design / Development Development Tools / SDKs / Libraries Grippers
GFT Technologies AI-powered robots move from inspection to action for automakers
GFT Technologies has expanded its collaboration with Google Cloud by deploying AI-powered robots in automotive factories to enhance quality control processes. These robots are designed to identify and remove defective parts from production lines, transitioning from mere inspection to active intervention. This innovative approach aims to improve manufacturing efficiency and reduce the likelihood of faulty products reaching consumers. The initiative reflects a growing trend in the automotive industry to integrate advanced technology for better operational outcomes.
Arms / Manipulators Artificial Intelligence Artificial Intelligence / Cognition Automotive Cameras / Imaging / Vision Manufacturing
Top Computer Vision Development Company Options for 2026
Selecting the appropriate computer vision development company is crucial for ensuring compatibility with the specific environment in which the model will operate. This could range from camera system-on-chips (SoCs) and cloud-based software as a service (SaaS) products to medical devices and live video systems. Among the available options, SQUAD stands out as a robust choice for edge hardware and smart camera products. Meanwhile, Intellias and Softeq are recognized as strong contenders for embedded AI solutions. As the industry evolves, companies must carefully assess their needs to align with the right technology partner.
Components Computing Technology AI development artificial intelligence automation news
Machine-Vision Industry Expected to Reach $8.3 billion in 2030 Despite Tariff Impacts, Report Finds
A recent report on machine vision highlights significant growth in the industry, driven primarily by advancements in 3D cameras and vision software. This development reflects the increasing demand for enhanced imaging technologies across various sectors, including manufacturing, healthcare, and robotics. The report, which analyzes trends and projections, indicates that the integration of sophisticated vision systems is revolutionizing processes and improving efficiency. As companies continue to invest in these technologies, the machine vision market is expected to expand further, offering innovative solutions that cater to evolving industry needs.
Business Intelligence
Fortsense Develops Single-Chip RGBD Spatial Cameras for Physical AI Perception
Fortsense Technologies is making significant strides in the field of imaging technology with its development of single-chip RGBD spatial cameras. These innovative cameras combine color and depth perception into a single unit, offering a streamlined alternative to the traditional combination of cameras and LiDAR systems. The company's focus is on enhancing the capabilities of autonomous vehicles and robotics, sectors that increasingly rely on advanced sensing technologies for navigation and environmental understanding. By integrating both color and depth data into one chip, Fortsense aims to improve efficiency and reduce costs in these applications. The initiative is part of a broader trend towards more compact and effective sensor solutions in the rapidly evolving landscape of autonomous technology.
AI
Robot Vision Systems: 3 Ways Robots See the World | Boston Dynamics
Modern robot vision systems are increasingly utilizing advanced technologies such as visual cameras, 3D lidar scans, and various sensors to enhance their ability to interpret, navigate, and interact with their surroundings. These developments are part of a broader trend in robotics aimed at improving automation and efficiency across multiple industries. As of October 2023, the integration of these sophisticated systems is revolutionizing how robots perceive and respond to their environment, enabling them to perform complex tasks with greater accuracy and reliability. This advancement is driven by the need for more intelligent and adaptable robotic solutions in sectors ranging from manufacturing to healthcare, where precise navigation and interaction with dynamic environments are crucial. The ongoing research and implementation of these technologies signify a significant leap forward in the field of robotics, paving the way for more autonomous and capable machines.
oToBrite Showcases Automotive-Grade Vision-AI for North America's Robotics and Unmanned Vehicle Market at XPONENTIAL 2026
oToBrite has unveiled its latest innovation, a long-range 3D stereo vision camera module designed specifically for robotics, during a recent exhibition. This advanced system boasts impressive features, including 120 dB high dynamic range (HDR) imaging and global shutter synchronization. These capabilities allow for stable feature extraction even in difficult conditions, such as bright sunlight, deep shadows, and low-texture environments. The launch aims to enhance the performance of robotic systems, making them more effective in a variety of real-world applications.
A Step-by-Step Guide to Teaching Waypoints with a Vision Guided Robot
As automation technology evolves, manufacturers are increasingly seeking ways to enhance robot teaching methods while ensuring precision. JAKA, a leader in collaborative automation solutions, is focusing on simplifying this process through the integration of visual perception in their cobot systems. This innovative approach significantly reduces setup time and enhances adaptability in production environments. Waypoint teaching, a critical aspect of robot operation, allows robots to understand their movement and interaction with surroundings through visual feedback rather than fixed programming. By utilizing cameras for reference identification, JAKA's vision-guided robots can dynamically generate waypoints, accommodating slight positional variations of parts on the work surface. This method is particularly beneficial for tasks such as picking, alignment, and inspection, where positional changes are common. The teaching process begins with visual calibration to align the robot's coordinate system with the camera's perception. Operators then guide the robot to sample waypoints, with the vision system recording spatial relationships. This continuous validation of waypoint data ensures consistent performance without the need for frequent re-teaching, making it ideal for environments with changing product models or layouts. In practical applications, JAKA employs the A12L intelligent visual perception robot, which integrates collaborative functionality with advanced vision capabilities. This system streamlines the teaching process, allowing operators to easily set waypoints without complex external hardware. By combining visual perception with structured teaching steps, JAKA aims to make automation more accessible while maintaining the expertise of human operators, ultimately fostering flexible and efficient manufacturing workflows.
STR and SubC Imaging Sign Exclusive Global Partnership
STR, a prominent provider of advanced sensor technology for marine applications, has enhanced its global technology and service capabilities through an exclusive partnership with SubC Imaging. This collaboration, announced recently, will allow STR to integrate SubC Imaging's expertise in subsea cameras and digital video recording products into its offerings. The partnership aims to improve data-as-a-service solutions for clients in marine industries, addressing the growing demand for high-quality underwater imaging and data collection. By combining their strengths, both companies seek to deliver innovative solutions that enhance operational efficiency and safety in marine environments.
str subc imaging exclusive global partnership
Thermal Cameras and AI Help Ships Steer Clear Of Gray Whales
On May 19, a new AI-based whale detection system was launched in San Francisco Bay, developed by WhaleSpotter, a company based in Somerville, Massachusetts. This initiative, a collaboration among government agencies and scientists, aims to enhance the safety of marine traffic by identifying gray whales in real-time using thermal cameras mounted on Angel Island. The system operates continuously, even at night and in foggy conditions, and alerts nearby vessels to potential whale encounters, allowing them to slow down or change course. The urgency for such technology arises from alarming mortality rates among gray whales, with seven reported deaths in the bay this year alone, and a record 21 fatalities in 2025, primarily due to ship strikes. Scientists attribute the whales' recent detours into the bay to climate change, which has led to record-low sea ice levels and impacted their food sources. As a result, over 100 gray whales have been observed stopping in the bay since 2018, likely seeking nourishment during their long migration from Alaska to Mexico. The WhaleSpotter system has already logged 6,600 whale detections within its first week and a half of operation. While the technology significantly reduces the risk of ship strikes, human verification remains essential to confirm detections and minimize false alarms. Future enhancements aim to further automate the process, ultimately relying more on AI for monitoring marine life.
Cameras Whales Thermal-cameras Artificial-intelligence
How Industrial Vision Systems Beat Dust, Heat and Vibration to Stay Sharp on the Factory Floor
Engineers and operators in the manufacturing sector are addressing environmental threats to machine vision cameras, which can compromise system accuracy and lead to operational downtime. To mitigate these risks, experts are implementing protective measures and maintenance strategies designed to enhance the durability and reliability of these critical systems. By focusing on proactive maintenance and environmental safeguards, teams can ensure that machine vision technology continues to function effectively, even in challenging conditions. This approach not only helps maintain productivity but also extends the lifespan of the equipment, ultimately supporting the efficiency of manufacturing processes.
Factory / Sensors
New Boson SX8 Brings High-Resolution Thermal Imaging to NDAA-Compliant Drone Payloads
Teledyne FLIR OEM has unveiled the Boson SX8, a cutting-edge longwave infrared (LWIR) thermal camera module aimed at defense, industrial, and uncrewed systems applications. Announced recently, the Boson SX8 stands out as the first NDAA-compliant, volume-production uncooled thermal camera module, merging high SXGA resolution with a compact design. This innovation is expected to enhance the capabilities of drone payloads, providing high-resolution thermal imaging for various applications. The development reflects a commitment to U.S. manufacturing and addresses the growing demand for advanced thermal imaging solutions in critical sectors.
Applications Defense defense Drone News Drone News Feeds drone parts
New imaging system sees through murky waters
A groundbreaking technology known as “Sonar-MASt3R” has been developed to enhance underwater mapping capabilities by integrating sonar and visual data. This innovative system is capable of producing real-time 3D maps, significantly improving navigation and exploration in challenging environments, including cloudy water conditions. The technology was unveiled in October 2023, showcasing its potential to revolutionize marine research and underwater operations. By combining different data sources, Sonar-MASt3R addresses the limitations of traditional mapping methods, offering clearer and more accurate representations of underwater landscapes. This advancement is expected to benefit various sectors, including environmental monitoring, maritime safety, and underwater archaeology, by providing researchers and professionals with reliable tools for better decision-making in aquatic environments.
Research Robotics Computer vision Imaging Sensors Oceanography and ocean engineering
Fusing LiDAR and vision to generate high-quality reconstructions
In a groundbreaking study published in the May 2026 issue of Science Robotics, researchers have unveiled a new robotic system designed to enhance surgical precision. This innovative technology, developed by a team at a leading university, aims to reduce the risks associated with complex surgical procedures. The research, conducted over the past two years, involved extensive testing and collaboration with medical professionals to ensure the system meets clinical needs. The robotic system employs advanced algorithms and real-time imaging to assist surgeons during operations, allowing for greater accuracy and control. This development comes in response to the increasing demand for minimally invasive surgical techniques that promise quicker recovery times and fewer complications for patients. The team conducted trials in various surgical settings, demonstrating the system's effectiveness in improving outcomes across different types of procedures. By integrating cutting-edge robotics with traditional surgical methods, the researchers hope to set a new standard in the field, ultimately benefiting both surgeons and patients alike. As the medical community continues to explore the potential of robotics in healthcare, this study represents a significant step forward in the quest for safer and more efficient surgical practices. The implications of this research could lead to widespread adoption of robotic assistance in operating rooms around the world, transforming the landscape of surgical care.
Editors' Choice
IDS: Digital precision transforms aircraft construction with Ensenso 3D vision
In a significant advancement for aircraft manufacturing, an Ensenso 3D camera has been integrated into an automated process chain to enhance the precision of drilling position detection and alignment during cabin assembly. This innovative technology aims to streamline operations and improve accuracy in the assembly line, ultimately contributing to higher quality standards in aircraft production. The implementation of the 3D camera system is expected to reduce errors and increase efficiency, addressing the industry's ongoing need for precision in complex assembly tasks. This development marks a crucial step forward in the integration of advanced imaging technology within the aerospace sector, reflecting the industry's commitment to leveraging automation for improved manufacturing processes.
Teradar enters paid evaluation program with German automaker for terahertz vehicle sensing technology
Teradar, a company specializing in terahertz (THz) vision technology, has initiated a paid technical evaluation program with a leading German automotive manufacturer. This collaboration aims to assess Teradar's innovative sensing technology for potential integration into advanced driver assistance systems (ADAS) and autonomous driving platforms. The evaluation will specifically target challenging scenarios where traditional sensing technologies, including cameras, radar, and lidar, may face limitations. By exploring the capabilities of THz technology, both Teradar and the automotive manufacturer seek to enhance the safety and efficiency of future automotive systems.
Components Design Engineering adas advanced driver assistance systems automation news
Teledyne FLIR OEM Expands Prism AI Platform with Ground ISR Software for Military Target Classification
Teledyne FLIR OEM has launched Prism™ Ground ISR, an advanced AI-powered software stack aimed at enhancing ground-based intelligence, surveillance, and reconnaissance (ISR) missions. This new software expands the capabilities of the existing Prism software family, which previously focused on counter-drone applications. The introduction of this technology marks a significant development in military target classification, leveraging AI, thermal imaging, and computational imaging to improve operational effectiveness. The announcement was made recently, highlighting the company's commitment to advancing ISR capabilities for military applications.
Applications Data analytics Defense defense Drone News Drone News Feeds
Robots Face Challenges in Basic Tasks Despite Advances in Embodied Intelligence
Over the past year, the robotics industry has engaged in a competitive race focused on enhancing the computational power, parameters, and algorithms of robotic 'brains.' While advancements in reasoning capabilities are evident, robots still struggle with basic tasks such as grasping objects or performing precise manipulations. This discrepancy raises questions about the effectiveness of current sensory technologies. The core issue lies in the limitations of robotic perception, which relies heavily on either pure vision or multi-sensor fusion approaches. Multi-sensor fusion, favored by many embodied intelligence manufacturers, combines various sensors to improve robustness and accuracy. However, this method introduces challenges related to data synchronization and processing overhead, hindering the scalability of embodied intelligence. Conversely, pure vision systems, exemplified by Tesla's approach, depend on 2D RGB cameras to reconstruct 3D environments. This method lacks depth information and can falter in challenging visual conditions. Both approaches suffer from the loss of information during data transmission and processing, resulting in robots receiving 'second-hand data' rather than real-time, unified information from the physical world. No further timeline was disclosed at the time of publication.
Robotic Vision Embodied Intelligence Sensor Technology AI Automation
Physical AI Enhances Adaptability for Mid-Market Manufacturers Facing Disruption
Mid-market manufacturers are increasingly turning to physical AI to enhance operational adaptability in the face of fluctuating production conditions. Traditional automation systems often struggle under the pressures of changing product mixes and workforce availability, making physical AI a crucial technology for real-time responsiveness. By enabling machines to perceive and react to their environments, physical AI can improve safety and efficiency without necessitating large-scale transformations. The significance of physical AI lies in its ability to provide mid-market manufacturers with the tools to navigate variability in production schedules and equipment. For instance, AI-powered inspection systems and robotic solutions can adjust to real-time conditions, thereby maintaining throughput and safety. A notable example includes an automotive supplier that improved safety by integrating AI vision into existing cameras, allowing for better traffic management within the facility. Looking ahead, mid-market manufacturers should consider phased approaches to adopting physical AI, focusing on specific operational challenges to build confidence and momentum. While technical limitations and funding concerns may pose challenges, subscription-based models can offer a flexible pathway for testing and scaling AI solutions, ultimately enhancing resilience and operational effectiveness.
Factory / Analytics
Robbyant Unveils LingBot-Depth 2.0 with Enhanced Spatial Perception for Robotics
Chinese AI company Robbyant has launched LingBot-Depth 2.0, a next-generation spatial perception model designed to enhance robotic navigation in complex environments. This model builds on the previous LingBot-Depth, utilizing the Masked Depth Modeling technique and trained on 150 million samples, achieving top results in 12 out of 16 depth completion benchmarks. Notably, it reduces depth error by over 50%, improving accuracy in challenging indoor settings. The significance of LingBot-Depth 2.0 lies in its ability to accurately perceive transparent and reflective surfaces, areas where traditional depth cameras often struggle. The model's advancements are attributed to LingBot-Vision, a visual foundation model that employs a unique “boundary structure” pre-training objective, enabling sub-pixel-level boundary localization. Despite being trained on a smaller dataset of 160 million images, it demonstrates robust performance across various robotic vision applications, enhancing object boundary detection and tracking. Looking ahead, Robbyant's collaboration with Orbbec aims to integrate LingBot-Depth 2.0 into new hardware solutions for robotics data collection. The RGB-D EGO device, part of Orbbec’s Robot-Free Data Collection Hardware Platform, will feature a customized version of the model. Future updates are expected to further enhance depth completion and spatial structure understanding, providing a solid foundation for training embodied AI systems in real-world scenarios. No further timeline was disclosed at the time of publication.
AI and Robotics
ForSight Robotics Completes First Fully Robotic Cataract Surgery with JASPER Platform
ForSight Robotics has successfully completed the world's first fully robotic cataract surgery using its JASPER platform, led by Dr. Alexey Rapoport in April 2026. This groundbreaking procedure was performed at the Asian Eye Institute in the Philippines, showcasing JASPER's ability to execute the entire surgery autonomously without general anesthesia, adhering to modern cataract surgery standards. The significance of this achievement lies in JASPER's unique design, which empowers surgeons rather than replacing them. By integrating AI algorithms, advanced computer vision, and miniature mechanical technology, JASPER provides enhanced imaging and precision control, allowing surgeons to perform with the accuracy of elite professionals. This innovation also addresses ergonomic concerns, as it enables surgeons to operate seated, potentially extending their careers and improving surgical outcomes. Looking ahead, ForSight Robotics aims to secure FDA approval for JASPER in the United States, with plans to bring this technology to market in the coming years. The company has raised $195 million since its founding in 2020, with significant investments from notable figures and organizations. No further timeline was disclosed at the time of publication.
Robotic Surgery Cataract Surgery AI in Healthcare Ophthalmology Medical Robotics
How the Modular Concept Can Help You Build a Future-Proof and Secure Robotic Computing Platform
An advanced robotic platform has been developed to execute real-time multi-axis motion control while simultaneously processing data from various sensors, including 2D and 3D vision cameras and LIDAR. This innovative technology, unveiled today, aims to enhance automation and precision in various applications. By integrating multiple data streams, the platform can effectively navigate and respond to its environment, showcasing significant advancements in robotics and sensor technology. The development is expected to have wide-ranging implications across industries, from manufacturing to autonomous vehicles, as it demonstrates the potential for improved efficiency and safety in complex tasks.
AmbiStack Selected for 2026 RBR50 Awards, Marking Third Recognition for Ambi Robotics
AmbiStack has been recognized for its innovative contributions to the field of physical AI, showcasing its ability to efficiently stack both uniform and non-uniform packages. Utilizing advanced cameras, machine vision, and artificial intelligence, the robot identifies items without prior knowledge of their size, position, or appearance. This technology enables AmbiStack to strategically arrange packages onto pallets or within walled containers, enhancing operational efficiency in logistics and warehousing. The selection highlights the growing importance of automation and AI in streamlining complex tasks in various industries.
AI Processing of Earth Images Can Now Run in Space
Planet Labs, a California-based Earth observation company, has successfully implemented AI image processing aboard its Pelican-4 multispectral satellite, marking a significant advancement in satellite technology. The satellite captured an image of an airport in Alice Springs, Australia, where an AI model autonomously identified and highlighted over a dozen aircraft on the tarmac. This achievement comes after 18 months of development aimed at enabling real-time object classification from space, which could revolutionize the Earth observation industry by providing immediate insights to users. Currently, Planet Labs operates hundreds of Dove and SuperDove CubeSats, alongside its Pelican satellites, which offer high-resolution imaging capabilities. The Pelican-4, launched into orbit in 2025, utilizes onboard AI algorithms to analyze images rapidly, delivering results to users within minutes. This efficiency addresses previous delays in data processing that could hinder timely responses to critical situations, such as wildfires. Looking ahead, Planet Labs plans to enhance its satellite fleet with a new model called the Owl, equipped with advanced AI detection capabilities. This network of satellites aims to create a system that autonomously monitors the planet and flags potential issues in real-time. The company envisions a future where powerful AI models could provide instant textual updates on detected anomalies, further streamlining Earth monitoring efforts. The space-based AI detection service is expected to be available to customers within the next six to nine months, as Planet Labs continues to collaborate with Google on projects that could expand data-processing capabilities in orbit.
Earth-observation Ai Computer-vision Satellites
Implementing a Sorting Robot for Quality Inspection in Recycling Processes
Recycling facilities face ongoing challenges in maintaining material purity due to the variability of recyclables, which complicates manual sorting processes. To address this issue, JAKA is proposing the implementation of automated sorting robots designed to integrate seamlessly into existing workflows. These collaborative robots, or cobots, are equipped with advanced vision-guided systems that can identify and separate diverse materials based on visual or spectroscopic signals. The robots are engineered to operate effectively in the dynamic environments of recycling plants, where safety is paramount. JAKA's cobots feature multiple safety mechanisms, including force sensing and collision detection, allowing them to work alongside human operators without the need for extensive safety barriers. Their compact design enables installation in tight spaces, making them suitable for retrofitting in current facilities. Successful deployment of these sorting robots relies on a well-coordinated system that includes high-resolution cameras or near-infrared sensors for accurate material identification, as well as adaptive grippers or vacuum cups for handling various materials. JAKA emphasizes intuitive programming, allowing technicians to quickly adjust the robots for different material streams, thus minimizing downtime. By incorporating JAKA's sorting robots into recycling quality inspection processes, facilities can significantly enhance material purity and throughput. This strategic move not only improves operational consistency but also supports the essential work of modern recycling, ensuring a more efficient and effective waste management system.
Mistral AI Introduces Robostral Navigate for Autonomous Robotic Navigation
Mistral AI has launched Robostral Navigate, the first AI model specifically designed for robotic navigation. This marks a significant shift for the French company, which has previously focused on large language models, as it ventures into Physical AI. The goal is to enable robots to understand natural language instructions, interpret their surroundings using a standard RGB camera, and plan routes without relying on complex sensor infrastructures. The introduction of Robostral Navigate is important as it simplifies the navigation process, traditionally reliant on multiple technologies like LiDAR and depth cameras, which are costly and complex to integrate. By utilizing only RGB images and natural language commands, Mistral AI's approach could significantly reduce costs for robot manufacturers. An RGB camera is much cheaper than industrial LiDAR sensors, making this technology more accessible. Robostral Navigate operates on a model with 8 billion parameters, balancing computational power and operational efficiency. This size allows for faster execution on embedded platforms with limited resources, crucial for timely navigation decisions. Mistral AI trained the model on nearly 400,000 trajectories across over 6,000 simulated environments, showcasing its potential for real-world applications. No further timeline was disclosed at the time of publication.
À la une IA Industrie Robotique AMR benchmark R2R-CE
Graduate Student Develops NASA Robot Assembly Algorithm for Satellite Antennas
Sarah Downs, a graduate student at Texas A&M University, has developed an algorithm for NASA that enables robots to assemble satellites in space. This algorithm addresses the classic peg-in-hole problem by allowing robots to insert antennas accurately into designated spots. Downs's work is significant as it enhances the capabilities of robots operating in the challenging environment of outer space. The importance of Downs's research lies in its potential to improve satellite assembly processes, which are critical for space missions. By creating a robot that can perform tasks without relying on vision systems, Downs addresses the challenges posed by the harsh conditions of space where cameras may fail. This innovation could lead to more reliable and efficient satellite deployment in future missions. Looking ahead, Downs plans to continue her research on satellite assembly and manipulation at a larger scale. As she progresses in her Ph.D. studies, her work will likely contribute to advancements in robotics that could transform how satellites are constructed and maintained in orbit. No further timeline was disclosed at the time of publication.
Type-ti Ieee-member-news Robots Nasa Student-member Satellites
Insta360 Launches CameraMan Robot for Intelligent Photography on 11th Anniversary
Insta360 has introduced the CameraMan robot vision concept during its 11th anniversary celebration. This intelligent photography robot incorporates six years of advancements in AI chip, camera, and audio technologies, showcasing the company's commitment to innovation in the robotics space. The announcement comes at a time when Insta360's market capitalization has decreased by 60%. The significance of the CameraMan lies in its integration of sophisticated AI capabilities, which enhance its photography functions. By leveraging years of research and development in AI and imaging technologies, Insta360 aims to capture a share of the growing market for intelligent photography solutions. This move reflects a strategic pivot for the company amidst challenging market conditions. Looking ahead, industry observers will be keen to see how Insta360 develops the CameraMan concept into a market-ready product. No further timeline was disclosed at the time of publication, but the company's focus on intelligent robotics could signal a new direction for its future offerings.
Technology
Time-of-Flight as a key technology for cost-sensitive 3D applications
Patrick Schick, the Product Manager for 3D Vision at IDS, recently provided insights into the development and technical considerations surrounding Nion, a cutting-edge technology in the field of 3D imaging. In his discussion, Schick contextualized the innovative iToF (indirect Time of Flight) technology, emphasizing its significance in enhancing depth perception and spatial awareness in various applications. He outlined typical use cases for Nion, showcasing its potential across industries such as robotics, automation, and augmented reality. Schick's commentary sheds light on the strategic decisions that guided the creation of Nion, illustrating how advancements in 3D vision technology can drive efficiency and innovation in multiple sectors.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
